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Introduction to Probability with Mathematica

By: (Author) Kevin J. Hastings

Werezi Extended Catalogue
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Ksh 11,500.00

Format: Paperback / Softback

ISBN-10: 0367385198

ISBN-13: 9780367385194

Edition Number: 2

Publisher: Taylor & Francis Ltd

Imprint: Chapman & Hall/CRC

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Sep 19th, 2019

Print length: 468 Pages

Weight: 453 grams

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Updated to conform to Mathematica® 7.0, this second edition shows how to easily create simulations from templates and solve problems using Mathematica. Along with new sections on order statistics, transformations of multivariate normal random variables, and Brownian motion, this edition offers an expanded section on

Updated to conform to Mathematica® 7.0, Introduction to Probability with Mathematica®, Second Edition continues to show students how to easily create simulations from templates and solve problems using Mathematica. It provides a real understanding of probabilistic modeling and the analysis of data and encourages the application of these ideas to practical problems. The accompanyingdownloadable resources offer instructors the option of creating class notes, demonstrations, and projects.



New to the Second Edition







  • Expanded section on Markov chains that includes a study of absorbing chains


  • New sections on order statistics, transformations of multivariate normal random variables, and Brownian motion


  • More example data of the normal distribution


  • More attention on conditional expectation, which has become significant in financial mathematics


  • Additional problems from Actuarial Exam P


  • New appendix that gives a basic introduction to Mathematica


  • New examples, exercises, and data sets, particularly on the bivariate normal distribution


  • New visualization and animation features from Mathematica 7.0


  • Updated Mathematica notebooks on the downloadable resources.






After covering topics in discrete probability, the text presents a fairly standard treatment of common discrete distributions. It then transitions to continuous probability and continuous distributions, including normal, bivariate normal, gamma, and chi-square distributions. The author goes on to examine the history of probability, the laws of large numbers, and the central limit theorem. The final chapter explores stochastic processes and applications, ideal for students in operations research and finance.


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